feat(verathos): add Verathos provider with four decision models

models/jaredpalmer/kev-4b.toml

@@ -0,0 +1,41 @@
+# Source: https://huggingface.co/jaredpalmer/kev-4b (model card, accessed 2026-10-20).
+# Kev 1.0, first published 2026-09-24: a LoRA adapter and pointer head on Qwen3.5-4B-Base that
+# returns a probability per option and generates no text, so output is 0. States of up to
+# 65,536 tokens are served; the card validates accuracy to 8,192. English only.
+schema = 2
+v2_only = true
+type = "decision"
+name = "Kev 4B"
+description = "Jared Palmer's open-weight 4B decision model that returns calibrated probabilities for typed choice, score and yes/no questions about a text or JSON state"
+open_weights = true
+release_date = "2026-09-24"
+license = "Apache-2.0"
+
+[modalities]
+input = ["text"]
+output = ["decision"]
+
+[capabilities]
+tools = { supported = false }
+reasoning = { supported = false }
+temperature = false
+top_p = false
+top_k = false
+
+[limit]
+context = 65_536
+output = 0
+
+[[links]]
+label = "Model card"
+url = "https://huggingface.co/jaredpalmer/kev-4b"
+type = "model_card"
+
+[[links]]
+label = "Source code"
+url = "https://github.com/jaredpalmer/kev"
+type = "other"
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/jaredpalmer/kev-4b"

models/vllm-sr/d3-mini.toml

@@ -0,0 +1,34 @@
+# Source: https://huggingface.co/vllm-sr/d3-mini (model card, config.json, decision_config.json; accessed
+# 2026-10-21). Decision 3.0 from vLLM Semantic Router: a fine-tune of Qwen3.5-4B (4.54B parameters with a
+# 0.33B vision encoder) that returns a probability per option and generates no text, so output is 0.
+# Context: decision_config.json sets max_length = null, so the vLLM-SR runtime serves max_position_embeddings,
+# 262,144 (vllm-project/semantic-router src/model-runtime/vllm_srun/families/decision3/package.py).
+# Tag v3.0.0 was pushed on 2026-10-10 and the current weights, v3.1.0, on 2026-10-11.
+schema = 2
+v2_only = true
+type = "decision"
+name = "d3-mini"
+description = "vLLM Semantic Router 4B decision model that answers typed choice, yes/no and score questions about text, images or video with probabilities"
+open_weights = true
+release_date = "2026-10-10"
+last_updated = "2026-10-11"
+license = "Apache-2.0"
+
+[modalities]
+input = ["text", "image", "video"]
+output = ["decision"]
+
+[capabilities]
+tools = { supported = false }
+reasoning = { supported = false }
+temperature = false
+top_p = false
+top_k = false
+
+[limit]
+context = 262_144
+output = 0
+
+[[weights]]
+label = "Hugging Face"
+url = "https://huggingface.co/vllm-sr/d3-mini"

packages/core/src/generate.ts

@@ -135,6 +135,7 @@ async function generateProviders(
         cause: { providerPath },
       });
     }
+    let v2OnlyCount = 0;
     for await (const modelPath of new Bun.Glob("**/*.toml").scan({
       cwd: modelsPath,
       absolute: true,
@@ -148,7 +149,10 @@ async function generateProviders(
       }).then((mod) => mod.default);
       raw.id = modelID;
       // Models marked `v2_only = true` are only published in the v2 API.
-      if (raw.v2_only === true) continue;
+      if (raw.v2_only === true) {
+        v2OnlyCount++;
+        continue;
+      }
       const toml = modelV2ToV1(raw, { modelPath }, provider.data.npm);
       if (toml.base_model !== undefined) {
         const baseModel = BaseModel.safeParse(toml);
@@ -177,6 +181,8 @@ async function generateProviders(
       provider.data.models[modelID] = normalizeModelCost(model.data);
     }
     if (Object.keys(provider.data.models).length === 0) {
+      // A provider that serves only v2_only models is left out of v1.
+      if (v2OnlyCount > 0) continue;
       throw new Error(`Provider "${providerID}" has no models`, {
         cause: { providerPath },
       });

packages/core/test/generate.test.ts

@@ -45,6 +45,51 @@ describe("catalog generation", () => {
     });
   });
 
+  test("leaves providers with only v2_only models out of v1", async () => {
+    await withFixture(async (root) => {
+      await write(root, "providers/decider/provider.toml", providerToml("Decider"));
+      await write(
+        root,
+        "providers/decider/models/decide.toml",
+        `schema = 2
+v2_only = true
+type = "decision"
+name = "Decide"
+description = "Example decision model that only the v2 catalog publishes"
+open_weights = true
+release_date = "2026-01-02"
+
+[modalities]
+input = ["text"]
+output = ["decision"]
+
+[capabilities]
+tools = { supported = false }
+reasoning = { supported = false }
+temperature = false
+top_p = false
+top_k = false
+
+[limit]
+context = 8_192
+output = 0
+
+[cost.text.input]
+price = 1
+
+[cost.text.output]
+price = 0
+`,
+      );
+
+      const providers = await generate(path.join(root, "providers"));
+      expect(providers.decider).toBeUndefined();
+
+      const providersV2 = await generateV2(path.join(root, "providers"));
+      expect(Object.keys(providersV2.decider?.models ?? {})).toEqual(["decide"]);
+    });
+  });
+
   test("base_model publishes canonical identity with the provider model", async () => {
     await withFixture(async (root) => {
       await write(root, "providers/direct/provider.toml", providerToml("Direct"));

providers/verathos/models/clef-flash.toml

@@ -0,0 +1,22 @@
+# Price and limits: https://api.verathos.ai/v1/models (2026-10-20). Billed on input tokens only, so
+# output is 0. Serving: POST /v1/systemone, which caps the state at 65,536 tokens (max_state_tokens)
+# and takes up to 4 PNG, JPEG or WebP images. System One has no temperature parameter.
+schema = 2
+v2_only = true
+base_model = "cloudflare/clef-flash"
+
+[capabilities]
+temperature = false
+
+[limit]
+context = 65_536
+
+[api.systemone]
+base_url = "https://api.verathos.ai/v1"
+sdk = { aisdk = "@ai-sdk/typesafe-ai", opencodeai = "@opencode/ai/providers/typesafe-ai" }
+
+[cost.text.input]
+price = 0.02
+
+[cost.text.output]
+price = 0

providers/verathos/models/d3-flash.toml

@@ -0,0 +1,23 @@
+# Price and limits: https://api.verathos.ai/v1/models (2026-10-20). Billed on input tokens only, so
+# output is 0. Serving: POST /v1/systemone with max_state_tokens 16,384; input_modalities is text
+# only and a request with images gets 400, so this entry is text only.
+schema = 2
+v2_only = true
+base_model = "vllm-sr/d3-flash"
+
+[modalities]
+input = ["text"]
+output = ["decision"]
+
+[limit]
+context = 16_384
+
+[api.systemone]
+base_url = "https://api.verathos.ai/v1"
+sdk = { aisdk = "@ai-sdk/typesafe-ai", opencodeai = "@opencode/ai/providers/typesafe-ai" }
+
+[cost.text.input]
+price = 0.02
+
+[cost.text.output]
+price = 0

providers/verathos/models/d3-mini.toml

@@ -0,0 +1,23 @@
+# Price and limits: https://api.verathos.ai/v1/models (2026-10-20). Billed on input tokens only, so
+# output is 0. Serving: POST /v1/systemone with max_state_tokens 16,384; input_modalities is text
+# only and a request with images gets 400, so this entry is text only.
+schema = 2
+v2_only = true
+base_model = "vllm-sr/d3-mini"
+
+[modalities]
+input = ["text"]
+output = ["decision"]
+
+[limit]
+context = 16_384
+
+[api.systemone]
+base_url = "https://api.verathos.ai/v1"
+sdk = { aisdk = "@ai-sdk/typesafe-ai", opencodeai = "@opencode/ai/providers/typesafe-ai" }
+
+[cost.text.input]
+price = 0.015
+
+[cost.text.output]
+price = 0

providers/verathos/models/kev-4b.toml

@@ -0,0 +1,15 @@
+# Price: https://api.verathos.ai/v1/models (2026-10-20). Billed on input tokens only, so output is 0.
+# Serving: POST /v1/systemone; max_state_tokens 65,536, text only, as the lab entry.
+schema = 2
+v2_only = true
+base_model = "jaredpalmer/kev-4b"
+
+[api.systemone]
+base_url = "https://api.verathos.ai/v1"
+sdk = { aisdk = "@ai-sdk/typesafe-ai", opencodeai = "@opencode/ai/providers/typesafe-ai" }
+
+[cost.text.input]
+price = 0.015
+
+[cost.text.output]
+price = 0

providers/verathos/provider.toml

@@ -0,0 +1,13 @@
+# Verathos Decide serves open-weight decision models on Bittensor subnet 96. Requests go to
+# POST /v1/systemone in the System One request and answer format (state, typed questions,
+# a probability per option); there is no chat completions endpoint. `api` is required by the
+# schema for `@ai-sdk/openai-compatible`. Keys are `Authorization: Bearer`, created at
+# https://verathos.ai/account/keys. Prices, limits and image support per model are public at
+# https://api.verathos.ai/v1/models; output tokens are free. https://verathos.ai/docs/api (accessed 2026-10-20)
+# opencodeai = "none": there is no chat API; each model's [api.systemone] names its SDK.
+name = "Verathos"
+npm = "@ai-sdk/openai-compatible"
+opencodeai = "none"
+api = "https://api.verathos.ai/v1"
+env = ["VERATHOS_API_KEY"]
+doc = "https://verathos.ai/docs/models"